| Full text | |
| Author(s): |
Total Authors: 2
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| Affiliation: | [1] Univ Groningen, Fac Sci & Engn, Nijenborgh 4, NL-9747 AG Groningen - Netherlands
Total Affiliations: 1
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| Document type: | Journal article |
| Source: | INFORMATICS-BASEL; v. 6, n. 2 JUN 2019. |
| Web of Science Citations: | 2 |
| Abstract | |
RadViz is one of the few methods in Visual Analytics able to project high-dimensional data and explain formed structures in terms of data variables. However, RadViz methods have several limitations in terms of scalability in the number of variables, ambiguities created in the projection by the placement of variables along the circular design space, and ability to segregate similar instances into visual clusters. To address these limitations, we propose RadViz++, a set of techniques for interactive exploration of high-dimensional data using a RadViz-type metaphor. We demonstrate the added value of our method by comparing it with existing high-dimensional visualization methods, and also by analyzing a complex real-world dataset having over a hundred variables. (AU) | |
| FAPESP's process: | 18/10652-9 - Exploring time series with visualization analysis |
| Grantee: | Lucas de Carvalho Pagliosa |
| Support Opportunities: | Scholarships abroad - Research Internship - Doctorate |